A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface

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Authors: Hamza Peracha, Carrina Iacobacci, Tyler S. Singer-Clark, Leigh R. Hochberg, Sergey D. Stavisky, David M. Brandman, Nicholas S. Card
Cited by: 0

Abstract

Communication and computer interaction are important for autonomy in modern life. Unfortunately, these capabilities can be limited or inaccessible for the millions of people living with paralysis. While implantable brain-computer interfaces (BCIs) show promise for restoring these capabilities, little has been explored on designing BCI user interfaces (UIs) for sustained daily use. Here, we present a personalized UI for an intracortical BCI system that enables users with severe paralysis to communicate and interact with their computers independently. Through a 22-month longitudinal deployment with one participant, we used iterative co-design to develop a system for everyday at-home use and documented how it evolved to meet changing needs. Our findings highlight how personalization and adaptability enabled independence in daily life and provide design implications for developing future BCI assistive technologies.

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Gaze Tracking and Assistive Technology Assistive Technology in Communication and Mobility

Publication details

Journal / source
arXiv (Cornell University)
Publication date
27 January 2026
Document type
Preprint